| /* |
| * Copyright (c) 2021 Arm Limited. |
| * |
| * SPDX-License-Identifier: MIT |
| * |
| * Permission is hereby granted, free of charge, to any person obtaining a copy |
| * of this software and associated documentation files (the "Software"), to |
| * deal in the Software without restriction, including without limitation the |
| * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| * sell copies of the Software, and to permit persons to whom the Software is |
| * furnished to do so, subject to the following conditions: |
| * |
| * The above copyright notice and this permission notice shall be included in all |
| * copies or substantial portions of the Software. |
| * |
| * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| * SOFTWARE. |
| */ |
| |
| // *INDENT-OFF* |
| // clang-format off |
| |
| #define TILE_VECTOR_SIZE1 1 |
| #define TILE_VECTOR_SIZE2 2 |
| #define TILE_VECTOR_SIZE3 3 |
| #define TILE_VECTOR_SIZE4 4 |
| #define TILE_VECTOR_SIZE5 8 |
| #define TILE_VECTOR_SIZE6 8 |
| #define TILE_VECTOR_SIZE7 8 |
| #define TILE_VECTOR_SIZE8 8 |
| #define TILE_VECTOR_SIZE9 16 |
| #define TILE_VECTOR_SIZE10 16 |
| #define TILE_VECTOR_SIZE11 16 |
| #define TILE_VECTOR_SIZE12 16 |
| #define TILE_VECTOR_SIZE13 16 |
| #define TILE_VECTOR_SIZE14 16 |
| #define TILE_VECTOR_SIZE15 16 |
| #define TILE_VECTOR_SIZE16 16 |
| |
| #define TILE_VECTOR_TYPE1(DATA_TYPE) DATA_TYPE##1 |
| #define TILE_VECTOR_TYPE2(DATA_TYPE) DATA_TYPE##2 |
| #define TILE_VECTOR_TYPE3(DATA_TYPE) DATA_TYPE##3 |
| #define TILE_VECTOR_TYPE4(DATA_TYPE) DATA_TYPE##4 |
| #define TILE_VECTOR_TYPE5(DATA_TYPE) DATA_TYPE##8 |
| #define TILE_VECTOR_TYPE6(DATA_TYPE) DATA_TYPE##8 |
| #define TILE_VECTOR_TYPE7(DATA_TYPE) DATA_TYPE##8 |
| #define TILE_VECTOR_TYPE8(DATA_TYPE) DATA_TYPE##8 |
| #define TILE_VECTOR_TYPE9(DATA_TYPE) DATA_TYPE##16 |
| #define TILE_VECTOR_TYPE10(DATA_TYPE) DATA_TYPE##16 |
| #define TILE_VECTOR_TYPE11(DATA_TYPE) DATA_TYPE##16 |
| #define TILE_VECTOR_TYPE12(DATA_TYPE) DATA_TYPE##16 |
| #define TILE_VECTOR_TYPE13(DATA_TYPE) DATA_TYPE##16 |
| #define TILE_VECTOR_TYPE14(DATA_TYPE) DATA_TYPE##16 |
| #define TILE_VECTOR_TYPE15(DATA_TYPE) DATA_TYPE##16 |
| #define TILE_VECTOR_TYPE16(DATA_TYPE) DATA_TYPE##16 |
| |
| /** Tile object |
| * A tile object is a 2D memory block and can be accessed using the following syntax: |
| * -# a[m0].v = access the the vector at row "m0" (OpenCL vector) |
| * -# a[m0].s[x] = access the scalar element at row "m0" and column "n0" (scalar access) |
| * |
| * @param[in] DATA_TYPE Data type of the tile |
| * @param[in] H Number of tile rows |
| * @param[in] W Number of tile colums |
| * @param[in] BASENAME Tile's name |
| */ |
| #define TILE(DATA_TYPE, H, W, BASENAME) TILE_STR(DATA_TYPE, H, W, BASENAME) |
| #define TILE_STR(DATA_TYPE, H, W, BASENAME) \ |
| union { \ |
| DATA_TYPE s[TILE_VECTOR_SIZE##W]; \ |
| TILE_VECTOR_TYPE##W(DATA_TYPE) v; \ |
| } BASENAME[H] |
| |
| #define TENSOR4D_IMAGE(name) \ |
| __read_only image2d_t name##_img, \ |
| __global uchar *name##_ptr, \ |
| uint name##_stride_x, \ |
| uint name##_step_x, \ |
| uint name##_stride_y, \ |
| uint name##_step_y, \ |
| uint name##_stride_z, \ |
| uint name##_step_z, \ |
| uint name##_stride_w, \ |
| uint name##_step_w, \ |
| uint name##_offset_first_element_in_bytes |
| |
| #define TENSOR4D_BUFFER(name) \ |
| __global uchar *name##_ptr, \ |
| uint name##_stride_x, \ |
| uint name##_step_x, \ |
| uint name##_stride_y, \ |
| uint name##_step_y, \ |
| uint name##_stride_z, \ |
| uint name##_step_z, \ |
| uint name##_stride_w, \ |
| uint name##_step_w, \ |
| uint name##_offset_first_element_in_bytes |
| |
| #define TENSOR4D_STR(name, type) TENSOR4D_##type(name) |
| #define TENSOR4D(name, type) TENSOR4D_STR(name, type) |
| |
| #if !defined(UNROLL_WITH_PRAGMA) |
| #define UNROLL_INCR(idx, step, macro) idx += (step); (macro) |
| |
| #define LOOP_UNROLLING_1(idx, step, macro) (macro) |
| #define LOOP_UNROLLING_2(idx, step, macro) LOOP_UNROLLING_1(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_3(idx, step, macro) LOOP_UNROLLING_2(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_4(idx, step, macro) LOOP_UNROLLING_3(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_5(idx, step, macro) LOOP_UNROLLING_4(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_6(idx, step, macro) LOOP_UNROLLING_5(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_7(idx, step, macro) LOOP_UNROLLING_6(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_8(idx, step, macro) LOOP_UNROLLING_7(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_9(idx, step, macro) LOOP_UNROLLING_8(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_10(idx, step, macro) LOOP_UNROLLING_9(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_11(idx, step, macro) LOOP_UNROLLING_10(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_12(idx, step, macro) LOOP_UNROLLING_11(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_13(idx, step, macro) LOOP_UNROLLING_12(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_14(idx, step, macro) LOOP_UNROLLING_13(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_15(idx, step, macro) LOOP_UNROLLING_14(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_16(idx, step, macro) LOOP_UNROLLING_15(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_17(idx, step, macro) LOOP_UNROLLING_16(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_18(idx, step, macro) LOOP_UNROLLING_17(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_19(idx, step, macro) LOOP_UNROLLING_18(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_20(idx, step, macro) LOOP_UNROLLING_19(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_21(idx, step, macro) LOOP_UNROLLING_20(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_22(idx, step, macro) LOOP_UNROLLING_21(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_23(idx, step, macro) LOOP_UNROLLING_22(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_24(idx, step, macro) LOOP_UNROLLING_23(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_25(idx, step, macro) LOOP_UNROLLING_24(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_26(idx, step, macro) LOOP_UNROLLING_25(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_27(idx, step, macro) LOOP_UNROLLING_26(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_28(idx, step, macro) LOOP_UNROLLING_27(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_29(idx, step, macro) LOOP_UNROLLING_28(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_30(idx, step, macro) LOOP_UNROLLING_29(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_31(idx, step, macro) LOOP_UNROLLING_30(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_32(idx, step, macro) LOOP_UNROLLING_31(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_33(idx, step, macro) LOOP_UNROLLING_32(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_34(idx, step, macro) LOOP_UNROLLING_33(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_35(idx, step, macro) LOOP_UNROLLING_34(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_36(idx, step, macro) LOOP_UNROLLING_35(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_37(idx, step, macro) LOOP_UNROLLING_36(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_38(idx, step, macro) LOOP_UNROLLING_37(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_39(idx, step, macro) LOOP_UNROLLING_38(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_40(idx, step, macro) LOOP_UNROLLING_39(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_41(idx, step, macro) LOOP_UNROLLING_40(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_42(idx, step, macro) LOOP_UNROLLING_41(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_43(idx, step, macro) LOOP_UNROLLING_42(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_44(idx, step, macro) LOOP_UNROLLING_43(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_45(idx, step, macro) LOOP_UNROLLING_44(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_46(idx, step, macro) LOOP_UNROLLING_45(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_47(idx, step, macro) LOOP_UNROLLING_46(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_48(idx, step, macro) LOOP_UNROLLING_47(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_49(idx, step, macro) LOOP_UNROLLING_48(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_50(idx, step, macro) LOOP_UNROLLING_49(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_51(idx, step, macro) LOOP_UNROLLING_50(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_52(idx, step, macro) LOOP_UNROLLING_51(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_53(idx, step, macro) LOOP_UNROLLING_52(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_54(idx, step, macro) LOOP_UNROLLING_53(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_55(idx, step, macro) LOOP_UNROLLING_54(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_56(idx, step, macro) LOOP_UNROLLING_55(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_57(idx, step, macro) LOOP_UNROLLING_56(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_58(idx, step, macro) LOOP_UNROLLING_57(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_59(idx, step, macro) LOOP_UNROLLING_58(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_60(idx, step, macro) LOOP_UNROLLING_59(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_61(idx, step, macro) LOOP_UNROLLING_60(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_62(idx, step, macro) LOOP_UNROLLING_61(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_63(idx, step, macro) LOOP_UNROLLING_62(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_64(idx, step, macro) LOOP_UNROLLING_63(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_65(idx, step, macro) LOOP_UNROLLING_64(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_66(idx, step, macro) LOOP_UNROLLING_65(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_67(idx, step, macro) LOOP_UNROLLING_66(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_68(idx, step, macro) LOOP_UNROLLING_67(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_69(idx, step, macro) LOOP_UNROLLING_68(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_70(idx, step, macro) LOOP_UNROLLING_69(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_71(idx, step, macro) LOOP_UNROLLING_70(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_72(idx, step, macro) LOOP_UNROLLING_71(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_73(idx, step, macro) LOOP_UNROLLING_72(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_74(idx, step, macro) LOOP_UNROLLING_73(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_75(idx, step, macro) LOOP_UNROLLING_74(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_76(idx, step, macro) LOOP_UNROLLING_75(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_77(idx, step, macro) LOOP_UNROLLING_76(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_78(idx, step, macro) LOOP_UNROLLING_77(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_79(idx, step, macro) LOOP_UNROLLING_78(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_80(idx, step, macro) LOOP_UNROLLING_79(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_81(idx, step, macro) LOOP_UNROLLING_80(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_82(idx, step, macro) LOOP_UNROLLING_81(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_83(idx, step, macro) LOOP_UNROLLING_82(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_84(idx, step, macro) LOOP_UNROLLING_83(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_85(idx, step, macro) LOOP_UNROLLING_84(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_86(idx, step, macro) LOOP_UNROLLING_85(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_87(idx, step, macro) LOOP_UNROLLING_86(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_88(idx, step, macro) LOOP_UNROLLING_87(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_89(idx, step, macro) LOOP_UNROLLING_88(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_90(idx, step, macro) LOOP_UNROLLING_89(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_91(idx, step, macro) LOOP_UNROLLING_90(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_92(idx, step, macro) LOOP_UNROLLING_91(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_93(idx, step, macro) LOOP_UNROLLING_92(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_94(idx, step, macro) LOOP_UNROLLING_93(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_95(idx, step, macro) LOOP_UNROLLING_94(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_96(idx, step, macro) LOOP_UNROLLING_95(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_97(idx, step, macro) LOOP_UNROLLING_96(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_98(idx, step, macro) LOOP_UNROLLING_97(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_99(idx, step, macro) LOOP_UNROLLING_98(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_100(idx, step, macro) LOOP_UNROLLING_99(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_101(idx, step, macro) LOOP_UNROLLING_100(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_102(idx, step, macro) LOOP_UNROLLING_101(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_103(idx, step, macro) LOOP_UNROLLING_102(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_104(idx, step, macro) LOOP_UNROLLING_103(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_105(idx, step, macro) LOOP_UNROLLING_104(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_106(idx, step, macro) LOOP_UNROLLING_105(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_107(idx, step, macro) LOOP_UNROLLING_106(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_108(idx, step, macro) LOOP_UNROLLING_107(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_109(idx, step, macro) LOOP_UNROLLING_108(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_110(idx, step, macro) LOOP_UNROLLING_109(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_111(idx, step, macro) LOOP_UNROLLING_110(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_112(idx, step, macro) LOOP_UNROLLING_111(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_113(idx, step, macro) LOOP_UNROLLING_112(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_114(idx, step, macro) LOOP_UNROLLING_113(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_115(idx, step, macro) LOOP_UNROLLING_114(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_116(idx, step, macro) LOOP_UNROLLING_115(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_117(idx, step, macro) LOOP_UNROLLING_116(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_118(idx, step, macro) LOOP_UNROLLING_117(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_119(idx, step, macro) LOOP_UNROLLING_118(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_120(idx, step, macro) LOOP_UNROLLING_119(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_121(idx, step, macro) LOOP_UNROLLING_120(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_122(idx, step, macro) LOOP_UNROLLING_121(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_123(idx, step, macro) LOOP_UNROLLING_122(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_124(idx, step, macro) LOOP_UNROLLING_123(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_125(idx, step, macro) LOOP_UNROLLING_124(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_126(idx, step, macro) LOOP_UNROLLING_125(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_127(idx, step, macro) LOOP_UNROLLING_126(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| #define LOOP_UNROLLING_128(idx, step, macro) LOOP_UNROLLING_127(idx, step, macro); UNROLL_INCR(idx, step, macro) |
| |
| #define LOOP_UNROLLING_STR(type, idx, start, step, num, macro) \ |
| { \ |
| type idx = start; \ |
| LOOP_UNROLLING_##num(idx, step, macro); \ |
| } |
| #else // !defined(UNROLL_WITH_PRAGMA) |
| #define LOOP_UNROLLING_STR(type, idx, start, step, num, macro) \ |
| { \ |
| _Pragma("unroll") \ |
| for(type idx = start; idx < (num * step); idx += step) \ |
| { \ |
| (macro); \ |
| } \ |
| } |
| #endif // !defined(UNROLL_WITH_PRAGMA) |
| #define LOOP_UNROLLING(type, idx, start, step, num, macro) LOOP_UNROLLING_STR(type, idx, start, step, num, macro) |
| |
| /** Get the get_global_id with partial N0. This function is useful when the dimension is not multiple of N0 and we need to use a partial N0 |
| * to avoid out-of-bound read/write |
| * |
| * @note PARTIAL_N0 is used for get_global_id(n) = 0. |
| * |
| * @param[in] IDX get_global_id index (0,1 and 2 only) |
| * @param[in] N0 Number of elements read/written on the IDX direction |
| * @param[in] PARTIAL_N0 Number of elements read/written on the IDX direction for get_global_id(IDX) = 0. If zero, |
| * the Number of elements read/written on the IDX direction for get_global_id(IDX) = 0 is N0 |
| */ |
| #define GET_SPATIAL_IDX(IDX, N0, PARTIAL_N0) (max((int)(get_global_id(IDX) * N0 - (N0 - PARTIAL_N0) % N0), 0)) |
| |
| /** Dot product integet 8bit function |
| * |
| * @note Performs: c += dot(a, b) |
| * |
| * @param[in] A_DATA_TYPE A (lhs) data type |
| * @param[in] B_DATA_TYPE B (rhs) data type |
| * @param[in] C_DATA_TYPE C (accumulator) data type |
| * @param[in] K0 Number of accumulations |
| * @param[in] a OpenCL vector a |
| * @param[in] b OpenCL vector b |
| * @param[in] c Scalar variable c |
| */ |
| #define DOT_PRODUCT_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, K0, a, b, c) DOT_PRODUCT_INTEGER8_STR(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, K0, a, b, c) |
| #define DOT_PRODUCT_INTEGER8_STR(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, K0, a, b, c) DOT_PRODUCT##K0##_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) |
| #define DOT_PRODUCT1_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) \ |
| ({ \ |
| c += (C_DATA_TYPE)(a) * (C_DATA_TYPE)(b); \ |
| }) |
| #if defined(ARM_COMPUTE_OPENCL_DOT8_ACC_ENABLED) && defined(cl_arm_integer_dot_product_accumulate_int8) |
| #define DOT_PRODUCT2_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) c = arm_dot_acc((A_DATA_TYPE##4)((a).s01, (A_DATA_TYPE##2)(0)), (B_DATA_TYPE##4)(((b).s01), (B_DATA_TYPE##2)(0)), (c)); |
| #define DOT_PRODUCT3_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) c = arm_dot_acc((A_DATA_TYPE##4)((a).s012, (A_DATA_TYPE)0), (B_DATA_TYPE##4)(((b).s012), (B_DATA_TYPE)0), (c)); |
| #define DOT_PRODUCT4_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) c = arm_dot_acc((a), (b), (c)); |
| #elif defined(ARM_COMPUTE_OPENCL_DOT8_ENABLED) && defined(cl_arm_integer_dot_product_int8) // defined(ARM_COMPUTE_OPENCL_DOT8_ENABLED) && defined(cl_arm_integer_dot_product_int8) |
| #define DOT_PRODUCT2_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) c += arm_dot((A_DATA_TYPE##4)((a).s01, (A_DATA_TYPE##2)(0)), (B_DATA_TYPE##4)(((b).s01), (B_DATA_TYPE##2)(0))); |
| #define DOT_PRODUCT3_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) c += arm_dot((A_DATA_TYPE##4)((a).s012, (A_DATA_TYPE)0), (B_DATA_TYPE##4)(((b).s012), (B_DATA_TYPE)0)); |
| #define DOT_PRODUCT4_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) c += arm_dot((a), (b)); |
| #else // defined(ARM_COMPUTE_OPENCL_DOT8_ACC_ENABLED) && defined(cl_arm_integer_dot_product_accumulate_int8) |
| #define DOT_PRODUCT2_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) \ |
| ({ \ |
| c += (C_DATA_TYPE)(a).s0 * (C_DATA_TYPE)(b).s0; \ |
| c += (C_DATA_TYPE)(a).s1 * (C_DATA_TYPE)(b).s1; \ |
| }) |
| #define DOT_PRODUCT3_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) \ |
| ({ \ |
| DOT_PRODUCT2_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c); \ |
| c += (C_DATA_TYPE)(a).s2 * (C_DATA_TYPE)(b).s2; \ |
| }) |
| #define DOT_PRODUCT4_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, x, y, val) \ |
| ({ \ |
| val += (C_DATA_TYPE)(x).s0 * (C_DATA_TYPE)(y).s0; \ |
| val += (C_DATA_TYPE)(x).s1 * (C_DATA_TYPE)(y).s1; \ |
| val += (C_DATA_TYPE)(x).s2 * (C_DATA_TYPE)(y).s2; \ |
| val += (C_DATA_TYPE)(x).s3 * (C_DATA_TYPE)(y).s3; \ |
| }) |
| #endif // defined(ARM_COMPUTE_OPENCL_DOT8_ACC_ENABLED) && defined(cl_arm_integer_dot_product_accumulate_int8) |
| #define DOT_PRODUCT5_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) \ |
| ({ \ |
| DOT_PRODUCT4_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).s0123), ((b).s0123), c); \ |
| DOT_PRODUCT1_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).s4), ((b).s4), c); \ |
| }) |
| #define DOT_PRODUCT6_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) \ |
| ({ \ |
| DOT_PRODUCT4_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).s0123), ((b).s0123), c); \ |
| DOT_PRODUCT2_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).s45), ((b).s45), c); \ |
| }) |
| #define DOT_PRODUCT7_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) \ |
| ({ \ |
| DOT_PRODUCT4_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).s0123), ((b).s0123), c); \ |
| DOT_PRODUCT3_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).s456), ((b).s456), c); \ |
| }) |
| #define DOT_PRODUCT8_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) \ |
| ({ \ |
| DOT_PRODUCT4_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).lo), ((b).lo), c); \ |
| DOT_PRODUCT4_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).hi), ((b).hi), c); \ |
| }) |
| #define DOT_PRODUCT9_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) \ |
| ({ \ |
| DOT_PRODUCT8_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).s01234567), ((b).s01234567), c); \ |
| DOT_PRODUCT1_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).s8), ((b).s8), c); \ |
| }) |
| #define DOT_PRODUCT10_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) \ |
| ({ \ |
| DOT_PRODUCT8_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).s01234567), ((b).s01234567), c); \ |
| DOT_PRODUCT2_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).s89), ((b).s89), c); \ |
| }) |
| #define DOT_PRODUCT11_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) \ |
| ({ \ |
| DOT_PRODUCT8_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).s01234567), ((b).s01234567), c); \ |
| DOT_PRODUCT3_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).s89A), ((b).s89A), c); \ |
| }) |
| #define DOT_PRODUCT12_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) \ |
| ({ \ |
| DOT_PRODUCT8_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).s01234567), ((b).s01234567), c); \ |
| DOT_PRODUCT4_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).s89AB), ((b).s89AB), c); \ |
| }) |
| #define DOT_PRODUCT13_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) \ |
| ({ \ |
| DOT_PRODUCT8_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).s01234567), ((b).s01234567), c); \ |
| DOT_PRODUCT5_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).s89ABC), ((b).s89ABC), c); \ |
| }) |
| #define DOT_PRODUCT14_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) \ |
| ({ \ |
| DOT_PRODUCT8_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).s01234567), ((b).s01234567), c); \ |
| DOT_PRODUCT6_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).s89ABCD), ((b).s89ABCD), c); \ |
| }) |
| #define DOT_PRODUCT15_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) \ |
| ({ \ |
| DOT_PRODUCT8_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).s01234567), ((b).s01234567), c); \ |
| DOT_PRODUCT7_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).s89ABCDE), ((b).s89ABCDE), c); \ |
| }) |
| #define DOT_PRODUCT16_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, a, b, c) \ |
| ({ \ |
| DOT_PRODUCT8_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).lo), ((b).lo), c); \ |
| DOT_PRODUCT8_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, ((a).hi), ((b).hi), c); \ |
| }) |
| |
| /** Dot product integet 8bit function |
| * |
| * @note Performs: c += dot(a, b) |
| * |
| * @param[in] A_DATA_TYPE A (lhs) data type |
| * @param[in] B_DATA_TYPE B (rhs) data type |
| * @param[in] C_DATA_TYPE C (accumulator) data type |
| * @param[in] K0 Number of accumulations |
| * @param[in] a OpenCL vector a |
| * @param[in] c Scalar variable c |
| */ |
| #define REDUCE_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, K0, a, c) REDUCE_INTEGER8_STR(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, K0, a, c) |
| #define REDUCE_INTEGER8_STR(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, K0, a, c) DOT_PRODUCT_INTEGER8(A_DATA_TYPE, B_DATA_TYPE, C_DATA_TYPE, K0, a, (TILE_VECTOR_TYPE##K0(B_DATA_TYPE))1, c) |
| |
| /** Load a vector from global memory (tensor) |
| * |
| * @param[in] DATA_TYPE Data type |
| * @param[in] WIDTH Number of dst columns |
| * @param[in] TENSOR_TYPE Type of cl_type used to store the tensor in global memory (BUFFER=cl_buffer, IMAGE=cl_image). |
| * In case of cl_image, only WIDTH multiples of 4 are supported (4, 8, 16) |
| * @param[in] TENSOR Tensor basename |
| * @param[in] X Starting X position |
| * @param[in] Y Starting Y position |
| * @param[in] STRIDE_Y Stride Y (in bytes) |
| */ |
| #define V_LOAD(DATA_TYPE, WIDTH, TENSOR_TYPE, TENSOR, X, Y, STRIDE_Y) V_LOAD_STR(DATA_TYPE, WIDTH, TENSOR_TYPE, TENSOR, X, Y, STRIDE_Y) |
| #define V_LOAD_STR(DATA_TYPE, WIDTH, TENSOR_TYPE, TENSOR, X, Y, STRIDE_Y) V_LOAD_##TENSOR_TYPE(DATA_TYPE, WIDTH, TENSOR, X, Y, STRIDE_Y) |
| #define V_LOAD_BUFFER(DATA_TYPE, WIDTH, TENSOR, X, Y, STRIDE_Y) \ |
| VLOAD(WIDTH) \ |
| (0, (__global DATA_TYPE *)(TENSOR##_ptr + TENSOR##_offset_first_element_in_bytes + (X) * sizeof(DATA_TYPE) + (Y) * (STRIDE_Y))) |
| #define V_LOAD_IMAGE(DATA_TYPE, WIDTH, TENSOR, X, Y, STRIDE_Y) READ_IMAGE2D(DATA_TYPE, CONVERT_VECTOR_SIZE_TO_PIXEL_UNIT(WIDTH), TENSOR##_img, (X) / 4, (Y)) |
| |
| /** Load a tile from global memory (tensor) |
| * |
| * @param[in] DATA_TYPE Data type |
| * @param[in] HEIGHT Number of dst rows |
| * @param[in] WIDTH Number of dst columns |
| * @param[in] TENSOR_TYPE Type of cl_type used to store the tensor in global memory (BUFFER=cl_buffer, IMAGE=cl_image). |
| * In case of cl_image, only WIDTH multiples of 4 are supported (4, 8, 16) |
| * @param[in] TENSOR Tensor basename |
| * @param[in] X Starting X position |
| * @param[in] Y Starting Y position |
| * @param[in] YI_MULTIPLIER Parameter used to multiply the internal row increment (_i). |
| * In common cases should be 1 but it becomes useful when we want to load rows which are multiple of STRIDE_Y. (e.g. loading the weights of convolution layer). |
| * In this case the address calculation is performed as: (Y + _i * Y_MULTIPLIER) * STRIDE_Y |
| * @param[in] STRIDE_Y Stride Y (in bytes) used to load each row. |
| * @param[out] dst Output tile |
| */ |
| #define T_LOAD(DATA_TYPE, HEIGHT, WIDTH, TENSOR_TYPE, TENSOR, X, Y, YI_MULTIPLIER, STRIDE_Y, dst) \ |
| ({ \ |
| LOOP_UNROLLING(int, _i, 0, 1, HEIGHT, \ |
| { \ |
| dst[_i].v = V_LOAD(DATA_TYPE, WIDTH, TENSOR_TYPE, TENSOR, X, ((Y) + _i * (int)(YI_MULTIPLIER)), STRIDE_Y); \ |
| }) \ |
| }) |
| |
| /** Load a tile from global memory (tensor) using an indirect Y index tile |
| * |
| * @param[in] DATA_TYPE Data type |
| * @param[in] HEIGHT Number of dst rows |
| * @param[in] WIDTH Number of dst columns |
| * @param[in] TENSOR_TYPE Type of cl_type used to store the tensor in global memory (BUFFER=cl_buffer, IMAGE=cl_image). Currently BUFFER only is supported |
| * In case of cl_image, only WIDTH multiples of 4 are supported (4, 8, 16) |
| * @param[in] TENSOR Tensor basename |
| * @param[in] X Starting X position |
| * @param[in] STRIDE_Y Stride Y (in bytes) |
| * @param[in] indirect_y Indirect Y index tile |
| * @param[out] dst Output tile |
| */ |
| #define T_LOAD_INDIRECT(DATA_TYPE, HEIGHT, WIDTH, TENSOR_TYPE, TENSOR, X, STRIDE_Y, indirect_y, dst) \ |
| ({ \ |
| LOOP_UNROLLING(int, _i, 0, 1, HEIGHT, \ |
| { \ |
| dst[_i].v = V_LOAD(DATA_TYPE, WIDTH, TENSOR_TYPE, TENSOR, X, (indirect_y[_i].v), STRIDE_Y); \ |
| }) \ |
| }) |
| |
| /** Load a tile from global memory (tensor) when the tensor is stored using a NHWC layout |
| * |
| * @param[in] DATA_TYPE Data type |
| * @param[in] TILE_HEIGHT Number of elements to load from Y (height) dimension |
| * @param[in] TILE_WIDTH Number of elements to load from X (width) dimension |
| * @param[in] TILE_CHANNELS Number of elements to load from C (channel) dimension |
| * @param[in] TENSOR_TYPE Type of cl_type used to store the tensor in global memory (BUFFER=cl_buffer, IMAGE=cl_image). Currently BUFFER only is supported |
| * In case of cl_image, only TILE_CHANNELS multiples of 4 are supported (4, 8, 16) |
| * @param[in] TENSOR Tensor basename |
| * @param[in] B Starting batch index |
| * @param[in] Y Starting Y index |
| * @param[in] X Starting X index |
| * @param[in] C Starting C index |
| * @param[in] TENSOR_HEIGHT Number of elements to load from Y (height) dimension |
| * @param[in] TENSOR_WIDTH Number of elements to load from X (width) dimension |
| * @param[in] STRIDE_Y Stride Y (in bytes) |
| * @param[out] dst Output tile |
| */ |
| #define T_LOAD_NHWC(DATA_TYPE, TILE_HEIGHT, TILE_WIDTH, TILE_CHANNELS, TENSOR_TYPE, TENSOR, B, Y, X, C, TENSOR_WIDTH, TENSOR_HEIGHT, STRIDE_Y, dst) \ |
| ({ \ |
| LOOP_UNROLLING(int, _yk, 0, 1, TILE_HEIGHT, \ |
| { \ |
| LOOP_UNROLLING(int, _xk, 0, 1, TILE_WIDTH, \ |
| { \ |
| int _src_y = (X) + _xk + ((Y) + _yk) * (TENSOR_WIDTH); \ |
| _src_y += (B) * (int)(TENSOR_WIDTH) * (int)(TENSOR_HEIGHT); \ |
| int _src_valid_y = (((X) + _xk) >= 0 && ((X) + _xk) < (int)(TENSOR_WIDTH) && ((Y) + _yk) >= 0 && ((Y) + _yk) < (int)(TENSOR_HEIGHT)); \ |
| if(_src_valid_y != 0) \ |
| { \ |
| dst[_xk + _yk * (TILE_WIDTH)].v = V_LOAD(DATA_TYPE, TILE_CHANNELS, TENSOR_TYPE, TENSOR, C, _src_y, STRIDE_Y); \ |
| } \ |
| }) \ |
| }) \ |
| }) |
| |
| /** Load a tile from global memory (tensor) when the tensor is stored using a NHWC layout with dilation for the X and Y increments |
| * |
| * @param[in] DATA_TYPE Data type |
| * @param[in] TILE_HEIGHT Number of elements to load from Y (height) dimension |
| * @param[in] TILE_WIDTH Number of elements to load from X (width) dimension |
| * @param[in] TILE_CHANNELS Number of elements to load from C (channel) dimension |
| * @param[in] TENSOR_TYPE Type of cl_type used to store the tensor in global memory (BUFFER=cl_buffer, IMAGE=cl_image). Currently BUFFER only is supported |
| * In case of cl_image, only TILE_CHANNELS multiples of 4 are supported (4, 8, 16) |
| * @param[in] TENSOR Tensor basename |
| * @param[in] B Starting batch index |
| * @param[in] Y Starting Y index |
| * @param[in] X Starting X index |
| * @param[in] C Starting C index |
| * @param[in] TENSOR_HEIGHT Number of elements to load from Y (height) dimension |
| * @param[in] TENSOR_WIDTH Number of elements to load from X (width) dimension |
| * @param[in] DILATION_X Dilation for the X increment |
| * @param[in] DILATION_Y Dilation for the Y increment |
| * @param[in] BOUNDARY_CHECK Boundary check flag. If true, it checks for any out-of-bound reads |
| * @param[out] dst Output tile |
| */ |
| #define T_LOAD_NHWC_WITH_DILATION(DATA_TYPE, TILE_HEIGHT, TILE_WIDTH, TILE_CHANNELS, TENSOR_TYPE, TENSOR, B, Y, X, C, TENSOR_WIDTH, TENSOR_HEIGHT, DILATION_X, DILATION_Y, BOUNDARY_CHECK, dst) \ |
| ({ \ |
| LOOP_UNROLLING(int, _yk, 0, 1, TILE_HEIGHT, \ |
| { \ |
| LOOP_UNROLLING(int, _xk, 0, 1, TILE_WIDTH, \ |
| { \ |
| int _src_y = (X) + _xk * (DILATION_X); \ |
| int _src_z = ((Y) + _yk * (DILATION_Y)); \ |
| int _src_w = (B); \ |
| bool _src_valid_y = (((X) + _xk * (DILATION_X)) >= 0) && (((X) + _xk * (DILATION_X)) < (int)(TENSOR_WIDTH)) && (((Y) + _yk * (DILATION_Y)) >= 0) && (((Y) + _yk * (DILATION_Y)) < (int)(TENSOR_HEIGHT)); \ |
| if(!(BOUNDARY_CHECK)) \ |
| { \ |
| dst[_xk + _yk * (TILE_WIDTH)].v = VLOAD(TILE_CHANNELS) \ |
| (0, (__global DATA_TYPE *)(TENSOR##_ptr + TENSOR##_offset_first_element_in_bytes + (C) * sizeof(DATA_TYPE) + (_src_y) * (TENSOR##_stride_y) + (_src_z) * (TENSOR##_stride_z) + (_src_w) * (TENSOR##_stride_w))); \ |
| } \ |
| else \ |
| { \ |
| if(_src_valid_y) \ |
| { \ |
| dst[_xk + _yk * (TILE_WIDTH)].v = VLOAD(TILE_CHANNELS) \ |
| (0, (__global DATA_TYPE *)(TENSOR##_ptr + TENSOR##_offset_first_element_in_bytes + (C) * sizeof(DATA_TYPE) + (_src_y) * (TENSOR##_stride_y) + (_src_z) * (TENSOR##_stride_z) + (_src_w) * (TENSOR##_stride_w))); \ |
| } \ |
| } \ |
| }) \ |
| }) \ |
| }) |
| |
| /** Load a tile from global memory (tensor) when the tensor is stored using a NHWC layout using indirect X and Y coordinates |
| * |
| * @param[in] DATA_TYPE Data type |
| * @param[in] TILE_AREA Number of elements to load from Y (height) dimension * Number of elements to load from X (width) dimension |
| * @param[in] TILE_CHANNELS Number of elements to load from C (channel) dimension |
| * @param[in] TENSOR_TYPE Type of cl_type used to store the tensor in global memory (BUFFER=cl_buffer, IMAGE=cl_image). Currently BUFFER only is supported |
| * In case of cl_image, only TILE_CHANNELS multiples of 4 are supported (4, 8, 16) |
| * @param[in] TENSOR Tensor basename |
| * @param[in] B Starting batch index |
| * @param[in] Y Starting Y index |
| * @param[in] X Starting X index |
| * @param[in] C Starting C index |
| * @param[in] TENSOR_HEIGHT Number of elements to load from Y (height) dimension |
| * @param[in] TENSOR_WIDTH Number of elements to load from X (width) dimension |
| * @param[in] STRIDE_Y Stride Y (in bytes) |
| * @param[out] xi A tile with (TILE_WIDTH x TILE_HEIGHT) values with the indirect X coordinate |
| * @param[out] yi A tile with (TILE_WIDTH x TILE_HEIGHT) values with the indirect Y coordinate |
| * @param[out] dst Output tile |
| */ |
| #define T_LOAD_NHWC_INDIRECT(DATA_TYPE, TILE_AREA, TILE_CHANNELS, TENSOR_TYPE, TENSOR, B, Y, X, C, TENSOR_WIDTH, TENSOR_HEIGHT, STRIDE_Y, xi, yi, dst) \ |
| ({ \ |
| LOOP_UNROLLING(int, _i, 0, 1, TILE_AREA, \ |
| { \ |
| int _src_y = (X) + xi[_i].v + ((Y) + yi[_i].v) * (TENSOR_WIDTH); \ |
| _src_y += (B) * (int)(TENSOR_WIDTH) * (int)(TENSOR_HEIGHT); \ |
| int _src_valid_y = (((X) + xi[_i].v) >= 0 && ((X) + xi[_i].v) < (int)(TENSOR_WIDTH) && ((Y) + yi[_i].v) >= 0 && ((Y) + yi[_i].v) < (int)(TENSOR_HEIGHT)); \ |
| if(_src_valid_y != 0) \ |
| { \ |
| dst[_i].v = V_LOAD(DATA_TYPE, TILE_CHANNELS, TENSOR_TYPE, TENSOR, C, _src_y, STRIDE_Y); \ |
| } \ |
| }) \ |
| }) |
| |
| /** Store a tile to global memory (tensor) using an indirect Y index tile and conditionally use a different length for the store |
| * |
| * @note If WIDTH1_CONDITION is true, the store will use the WIDTH1 length for the store |
| * @note The vectors are stored in reverse order so the invalid rows are overwritten by the valid ones |
| * |
| * @param[in] DATA_TYPE Data type |
| * @param[in] HEIGHT Number of src rows |
| * @param[in] WIDTH0 Store width to use if WIDTH1_CONDITION = false |
| * @param[in] WIDTH1 Store width to use if WIDTH1_CONDITION = true |
| * @param[in] TENSOR_TYPE Type of cl_type used to store the tensor in global memory (BUFFER=cl_buffer, IMAGE=cl_image). Currently BUFFER only is supported |
| * cl_image is not supported. |
| * @param[in] TENSOR Tensor basename |
| * @param[in] X Starting X position |
| * @param[in] STRIDE_Y Stride Y (in bytes) |
| * @param[in] WIDTH1_CONDITION Condition to select the WIDTH1 store |
| * @param[in] src Input tile |
| * @param[in] indirect_y Indirect Y index tile |
| */ |
| #define T_STORE_INDIRECT_WIDTH_SELECT(DATA_TYPE, HEIGHT, WIDTH0, WIDTH1, TENSOR_TYPE, TENSOR, X, STRIDE_Y, WIDTH1_CONDITION, src, indirect_y) \ |
| ({ \ |
| if(WIDTH1_CONDITION) \ |
| { \ |
| LOOP_UNROLLING(int, _i, 0, 1, HEIGHT, \ |
| { \ |
| VSTORE_PARTIAL(WIDTH0, WIDTH1) \ |
| (src[HEIGHT - 1 - _i].v, 0, (__global DATA_TYPE *)(TENSOR##_ptr + TENSOR##_offset_first_element_in_bytes + (X) * sizeof(DATA_TYPE) + (indirect_y[HEIGHT - 1 - _i].v) * STRIDE_Y)); \ |
| }) \ |
| } \ |
| else \ |
| { \ |
| LOOP_UNROLLING(int, _i, 0, 1, HEIGHT, \ |
| { \ |
| VSTORE(WIDTH0) \ |
| (src[HEIGHT - 1 - _i].v, 0, (__global DATA_TYPE *)(TENSOR##_ptr + TENSOR##_offset_first_element_in_bytes + (X) * sizeof(DATA_TYPE) + (indirect_y[HEIGHT - 1 - _i].v) * STRIDE_Y)); \ |
| }) \ |
| } \ |
| }) |
| |
| /** Offset correction for the QASYMM8 computation |
| * |
| * @param[in] ACC_DATA_TYPE Accumulator data type |
| * @param[in] M0 Number of src/dst rows |
| * @param[in] N0 Number of src/dst columns |
| * @param[in] K0 Number of src columns |
| * @param[in] SRC_OFFSET Source quantization offset |
| * @param[in] WEI_OFFSET Weights quantization shift |
| * @param[in] lhs LHS tile |
| * @param[in] rhs RHS tile |
| * @param[out] dst DST tile |
| */ |
| #define T_OFFSET_CORRECTION(ACC_DATA_TYPE, M0, N0, K0, SRC_OFFSET, WEI_OFFSET, lhs, rhs, dst) \ |
| ({ \ |
| LOOP_UNROLLING(int, _m0, 0, 1, M0, \ |
| { \ |
| ACC_DATA_TYPE _tm = 0; \ |
| LOOP_UNROLLING(int, _k0, 0, 1, K0, \ |
| { \ |
| _tm += ((ACC_DATA_TYPE)lhs[_m0].s[_k0] * (ACC_DATA_TYPE)WEI_OFFSET); \ |
| }) \ |
| LOOP_UNROLLING(int, _n0, 0, 1, N0, \ |
| { \ |
| dst[_m0].s[_n0] += _tm; \ |
| LOOP_UNROLLING(int, _k0, 0, 1, K0, \ |
| { \ |
| dst[_m0].s[_n0] += ((ACC_DATA_TYPE)rhs[_n0].s[_k0] * (ACC_DATA_TYPE)SRC_OFFSET); \ |
| }) \ |
| }) \ |
| }) \ |
| }) |
| |
| /** 8-bit quantization with fixed-point scale |
| * |
| * @param[in] SRC_DATA_TYPE SRC data type |
| * @param[in] DST_DATA_TYPE DST data type |
| * @param[in] QUANTIZATION_TYPE Quantization type (PER_TENSOR or PER_CHANNEL) |
| * @param[in] M0 Number of src/dst rows |
| * @param[in] N0 Number of src/dst columns |
| * @param[in] DST_OFFSET Quantization offset used for both the per-tensor and per-channel quantization |
| * @param[in] DST_SHIFT Quantization shift for the per-tensor quantization |
| * @param[in] DST_MULTIPLIER Quantization multiplier for the per-tensor quantization |
| * @param[in] src Input tile |
| * @param[in] dst_multipliers Output multipliers tile for the per-channel quantization |
| * @param[in] dst_shifts Output shift tile for the per-channel quantization |
| * @param[out] dst Output tile |
| */ |
| #define T_QUANTIZE8(SRC_DATA_TYPE, DST_DATA_TYPE, QUANTIZATION_TYPE, M0, N0, DST_OFFSET, DST_SHIFT, DST_MULTIPLIER, src, dst_multipliers, dst_shifts, dst) T_QUANTIZE8_STR(SRC_DATA_TYPE, DST_DATA_TYPE, QUANTIZATION_TYPE, M0, N0, DST_OFFSET, DST_SHIFT, DST_MULTIPLIER, src, dst_multipliers, dst_shifts, dst) |
| #define T_QUANTIZE8_STR(SRC_DATA_TYPE, DST_DATA_TYPE, QUANTIZATION_TYPE, M0, N0, DST_OFFSET, DST_SHIFT, DST_MULTIPLIER, src, dst_multipliers, dst_shifts, dst) T_QUANTIZE8_##QUANTIZATION_TYPE(SRC_DATA_TYPE, DST_DATA_TYPE, M0, N0, DST_OFFSET, DST_SHIFT, DST_MULTIPLIER, src, dst_multipliers, dst_shifts, dst) |
| |
| /** 8-bit per-tensor quantization with fixed-point scale |
| * |
| * @param[in] SRC_DATA_TYPE SRC data type |
| * @param[in] DST_DATA_TYPE DST data type |
| * @param[in] M0 Number of src/dst rows |
| * @param[in] N0 Number of src/dst columns |
| * @param[in] DST_OFFSET Quantization offset |
| * @param[in] DST_SHIFT Quantization shift for the per-tensor quantization |
| * @param[in] DST_MULTIPLIER Quantization multiplier for the per-tensor quantization |
| * @param[in] src Input tile |
| * @param[in] dst_multipliers (unused) |
| * @param[in] dst_shifts (unused) |
| * @param[out] dst Output tile |
| */ |
| #define T_QUANTIZE8_PER_TENSOR(SRC_DATA_TYPE, DST_DATA_TYPE, M0, N0, DST_OFFSET, DST_SHIFT, DST_MULTIPLIER, src, dst_multipliers, dst_shifts, dst) \ |
| ({ \ |
| LOOP_UNROLLING(int, _m0, 0, 1, M0, \ |
| { \ |
| LOOP_UNROLLING(int, _n0, 0, 1, N0, \ |
| { \ |
| SRC_DATA_TYPE _tmp = 0; \ |
| SRC_DATA_TYPE _src = src[_m0].s[_n0]; \ |
| _src *= select((SRC_DATA_TYPE)1, ((SRC_DATA_TYPE)1 << (SRC_DATA_TYPE)(-DST_SHIFT)), ((SRC_DATA_TYPE)DST_SHIFT < (SRC_DATA_TYPE)0)); \ |
| SRC_DATA_TYPE overflow = _src == DST_MULTIPLIER && _src == INT_MIN; \ |
| long a_64 = (long)(_src); \ |
| long b_64 = (long)(DST_MULTIPLIER); \ |
| long ab_64 = a_64 * b_64; \ |
| long mask1 = 1 << 30; \ |
| long mask2 = 1 - (1 << 30); \ |
| long is_positive_or_zero = ab_64 >= 0; \ |
| long nudge = select(mask2, mask1, is_positive_or_zero); \ |
| SRC_DATA_TYPE ab_x2_high32 = CONVERT((ab_64 + nudge) / (long)(1ll << 31), SRC_DATA_TYPE); \ |
| _tmp = select(ab_x2_high32, (SRC_DATA_TYPE)INT_MAX, overflow); \ |
| if(DST_SHIFT >= 0) \ |
| { \ |
| long mask = ((((int)1) << DST_SHIFT) - (long)1); \ |
| long threshold = _tmp < (int)0 ? (mask >> 1) + (long)1 : (mask >> 1) + 0; \ |
| _tmp = (_tmp & mask) > threshold ? (_tmp >> DST_SHIFT) + (int)1 : (_tmp >> DST_SHIFT); \ |
| } \ |
| _tmp += DST_OFFSET; \ |
| dst[_m0].s[_n0] = CONVERT_SAT(_tmp, DST_DATA_TYPE); \ |
| }) \ |
| }) \ |
| }) |
| |
| /** 8-bit per-channel quantization with fixed-point scale |
| * |
| * @param[in] SRC_DATA_TYPE SRC data type |
| * @param[in] DST_DATA_TYPE DST data type |
| * @param[in] M0 Number of src/dst rows |
| * @param[in] N0 Number of src/dst columns |
| * @param[in] DST_OFFSET Quantization offset |
| * @param[in] DST_SHIFT (unused) |
| * @param[in] DST_MULTIPLIER (unused) |
| * @param[in] src Input tile |
| * @param[in] dst_multipliers Output multipliers tile for the per-channel quantization |
| * @param[in] dst_shifts Output shift tile for the per-channel quantization |
| * @param[out] dst Output tile |
| */ |
| #define T_QUANTIZE8_PER_CHANNEL(SRC_DATA_TYPE, DST_DATA_TYPE, M0, N0, DST_OFFSET, DST_SHIFT, DST_MULTIPLIER, src, dst_multipliers, dst_shifts, dst) \ |
| ({ \ |
| LOOP_UNROLLING(int, _m0, 0, 1, M0, \ |
| { \ |
| LOOP_UNROLLING(int, _n0, 0, 1, N0, \ |
| { \ |
| SRC_DATA_TYPE _tmp = 0; \ |
| SRC_DATA_TYPE _src = src[_m0].s[_n0]; \ |
| SRC_DATA_TYPE _dst_multiplier = dst_multipliers[0].s[_n0]; \ |
| SRC_DATA_TYPE _dst_shift = dst_shifts[0].s[_n0]; \ |
| _src *= select((SRC_DATA_TYPE)1, ((SRC_DATA_TYPE)1 << (SRC_DATA_TYPE)(-_dst_shift)), ((SRC_DATA_TYPE)_dst_shift < (SRC_DATA_TYPE)0)); \ |
| SRC_DATA_TYPE overflow = _src == _dst_multiplier && _src == INT_MIN; \ |
| long a_64 = (long)(_src); \ |
| long b_64 = (long)(_dst_multiplier); \ |
| long ab_64 = a_64 * b_64; \ |
| long mask1 = 1 << 30; \ |
| long mask2 = 1 - (1 << 30); \ |
| long is_positive_or_zero = ab_64 >= 0; \ |
| long nudge = select(mask2, mask1, is_positive_or_zero); \ |
| SRC_DATA_TYPE ab_x2_high32 = CONVERT((ab_64 + nudge) / (long)(1ll << 31), SRC_DATA_TYPE); \ |
| _tmp = select(ab_x2_high32, (SRC_DATA_TYPE)INT_MAX, overflow); \ |
| if(_dst_shift >= 0) \ |
| { \ |
| long mask = ((((int)1) << _dst_shift) - (int)1); \ |
| long threshold = _tmp < (int)0 ? (mask >> 1) + (long)1 : (mask >> 1) + 0; \ |
| _tmp = (_tmp & mask) > threshold ? (_tmp >> _dst_shift) + (int)1 : (_tmp >> _dst_shift); \ |
| } \ |
| _tmp += DST_OFFSET; \ |
| dst[_m0].s[_n0] = CONVERT_SAT(_tmp, DST_DATA_TYPE); \ |
| }) \ |
| }) \ |
| }) |
| |
| /** Quantized the 8-bit tile with fixed-point scale for asymmetric |
| * |
| * @param[in] SRC_DATA_TYPE SRC data type |
| * @param[in] DST_DATA_TYPE DST data type |
| * @param[in] M0 Number of src/dst rows |
| * @param[in] N0 Number of src/dst columns |
| * @param[in] DST_OFFSET Quantization offset used for both the per-tensor and per-channel quantization |
| * @param[in] DST_SHIFT Quantization shift for the per-tensor quantization |
| * @param[in] DST_MULTIPLIER Quantization multiplier for the per-tensor quantization |
| * @param[in] src Input tile |
| * @param[out] dst Output tile |
| */ |
| #define T_QUANTIZE8_ASYMMETRIC(SRC_DATA_TYPE, DST_DATA_TYPE, M0, N0, DST_OFFSET, DST_SHIFT, DST_MULTIPLIER, src, dst) \ |
| ({ \ |
| LOOP_UNROLLING(int, _m0, 0, 1, M0, \ |
| { \ |
| LOOP_UNROLLING(int, _n0, 0, 1, N0, \ |
| { \ |
| SRC_DATA_TYPE _tmp = 0; \ |
| SRC_DATA_TYPE _src = src[_m0].s[_n0]; \ |
| _src *= select((SRC_DATA_TYPE)1, ((SRC_DATA_TYPE)1 << (SRC_DATA_TYPE)(-DST_SHIFT)), ((SRC_DATA_TYPE)DST_SHIFT < (SRC_DATA_TYPE)0)); \ |
| SRC_DATA_TYPE overflow = _src == DST_MULTIPLIER && _src == INT_MIN; \ |
| long a_64 = (long)(_src); \ |
| long b_64 = (long)(DST_MULTIPLIER); \ |
| long ab_64 = a_64 * b_64; \ |
| long mask1 = 1 << 30; \ |
| long mask2 = 1 - (1 << 30); \ |
| long is_positive_or_zero = ab_64 >= 0; \ |
| long nudge = select(mask2, mask1, is_positive_or_zero); \ |
| SRC_DATA_TYPE ab_x2_high32 = CONVERT((ab_64 + nudge) / (long)(1ll << 31), SRC_DATA_TYPE); \ |
| _tmp = select(ab_x2_high32, (SRC_DATA_TYPE)INT_MAX, overflow); \ |
| if(DST_SHIFT >= 0) \ |
| { \ |
| long mask = ((((int)1) << DST_SHIFT) - (int)1); \ |
| long threshold = _tmp < (int)0 ? (mask >> 1) + (long)1 : (mask >> 1) + 0; \ |
| _tmp = (_tmp & mask) > threshold ? (_tmp >> DST_SHIFT) + (int)1 : (_tmp >> DST_SHIFT); \ |
| } \ |
| _tmp += DST_OFFSET; \ |
| dst[_m0].s[_n0] = CONVERT_SAT(_tmp, DST_DATA_TYPE); \ |
| }) \ |
| }) \ |
| }) |
| |
| /** Conditional rowset (memset by row) |
| * |
| * @note Set the row to VALUE_TO_SET if the corresponding mask == 0 |
| * |
| * @param[in] DATA_TYPE Data type |
| * @param[in] M0 Number of LHS rows |
| * @param[in] N0 Number of LHS columns |
| * @param[in] VALUE_TO_SET Value to set the row |
| * @param[in, out] a Input/output tile |
| * @param[out] mask Mask to check for setting the row to VALUE_TO_SET |
| */ |
| #define T_ROWSET_MASK(DATA_TYPE, M0, N0, VALUE_TO_SET, a, mask) \ |
| ({ \ |
| LOOP_UNROLLING(int, _m0, 0, 1, M0, \ |
| { \ |
| LOOP_UNROLLING(int, _n0, 0, 1, N0, \ |
| { \ |
| a[_m0].s[_n0] = select((DATA_TYPE)(a[_m0].s[_n0]), (DATA_TYPE)(VALUE_TO_SET), (SELECT_DATA_TYPE(DATA_TYPE))(mask[_m0].v == (DATA_TYPE)0)); \ |
| }) \ |
| }) \ |
| }) |
| |
| /** Element-wise activation for floating point types |
| * |
| * @note Performs: activation(LHS) = DST |
| * |
| * @param[in] DATA_TYPE SRC/DST data type |
| * @param[in] M0 Number of SRC/DST rows |
| * @param[in] N0 Number of SRC/DST columns |
| * @param[in] ACTIVATION_TYPE Activation type |
| * @param[in] A_VAL A value used for the activation (e.g. tanh_op, brelu,..) |
| * @param[in] B_VAL B value used for the activation (e.g. tanh_op, brelu,..) |
| * @param[out] src SRC tile |
| * @param[out] dst DST tile |
| */ |
| #define T_ACTIVATION(DATA_TYPE, M0, N0, ACTIVATION_TYPE, A_VAL, B_VAL, src, dst) \ |
| ({ \ |
| LOOP_UNROLLING(int, _m0, 0, 1, M0, \ |
| { \ |
| dst[_m0].v = ACTIVATION(ACTIVATION_TYPE, DATA_TYPE, N0, src[_m0].v, A_VAL, B_VAL); \ |
| }) \ |
| }) |
| |
| // RELU Activation |
| #define relu_op_quantized(DATA_TYPE, VEC_SIZE, ZERO_VALUE, A_VAL, B_VAL, x) (max((DATA_TYPE)ZERO_VALUE, x)) |
| // Bounded RELU Activation |
| #define brelu_op_quantized(DATA_TYPE, VEC_SIZE, ZERO_VALUE, A_VAL, B_VAL, x) (min((DATA_TYPE)A_VAL, max((DATA_TYPE)ZERO_VALUE, x))) |
| // Lower Upper Bounded RELU Activation |
| #define lu_brelu_op_quantized(DATA_TYPE, VEC_SIZE, ZERO_VALUE, A_VAL, B_VAL, x) (min(max(x, (DATA_TYPE)B_VAL), (DATA_TYPE)A_VAL)) |
| // Hard Swish Activation |
| #define hard_swish_op_quantized(DATA_TYPE, VEC_SIZE, ZERO_VALUE, A_VAL, B_VAL, x) (x * ((min(max((DATA_TYPE)(x + (DATA_TYPE)3.f), (DATA_TYPE)0.f), (DATA_TYPE)6.f)) * (DATA_TYPE)0.166666667f)) |
| // Identity Activation |
| #define identity_op_quantized(DATA_TYPE, VEC_SIZE, ZERO_VALUE, A_VAL, B_VAL, x) (x) |
| |
| #define ACT_OP_QUANTIZED(op, DATA_TYPE, VEC_SIZE, ZERO_VALUE, A_VAL, B_VAL, x) op##_op_quantized(DATA_TYPE, VEC_SIZE, ZERO_VALUE, A_VAL, B_VAL, x) |
| #define ACTIVATION_QUANTIZED(op, DATA_TYPE, VEC_SIZE, ZERO_VALUE, A_VAL, B_VAL, x) ACT_OP_QUANTIZED(op, DATA_TYPE, VEC_SIZE, ZERO_VALUE, A_VAL, B_VAL, x) |
| |
| /** Element-wise activation for quantized types |
| * |
| * @note Performs: activation(LHS) = DST |
| * |
| * @param[in] DATA_TYPE SRC/DST data type |
| * @param[in] M0 Number of SRC/DST rows |
| * @param[in] N0 Number of SRC/DST columns |
| * @param[in] ACTIVATION_TYPE Activation type |
| * @param[in] ZERO_VALUE The zero value to consider in the computation |
| * @param[in] A_VAL A value used for the activation (e.g. tanh_op, brelu,..) |
| * @param[in] B_VAL B value used for the activation (e.g. tanh_op, brelu,..) |
| * @param[out] src SRC tile |
| * @param[out] dst DST tile |
| */ |
| #define T_ACTIVATION_QUANTIZED(DATA_TYPE, M0, N0, ACTIVATION_TYPE, ZERO_VALUE, A_VAL, B_VAL, src, dst) \ |
| ({ \ |
| LOOP_UNROLLING(int, _m0, 0, 1, M0, \ |
| { \ |
| dst[_m0].v = ACTIVATION_QUANTIZED(ACTIVATION_TYPE, DATA_TYPE, N0, ZERO_VALUE, A_VAL, B_VAL, src[_m0].v); \ |
| }) \ |
| }) |
| |
| /** Element-wise addition with a constant value |
| * |
| * @note Performs: LHS + constant = DST |
| * |
| * @param[in] DATA_TYPE LHS/RHS/DST data type |
| * @param[in] M0 Number of LHS rows |
| * @param[in] N0 Number of LHS columns |
| * @param[in] lhs LHS tile |
| * @param[in] rhs_constant Constant value |
| * @param[out] dst DST tile |
| */ |
| #define T_ADD_CONSTANT(DATA_TYPE, M0, N0, lhs, rhs_constant, dst) \ |
| ({ \ |
| LOOP_UNROLLING(int, _m0, 0, 1, M0, \ |
| { \ |
| LOOP_UNROLLING(int, _n0, 0, 1, N0, \ |
| { \ |
| dst[_m0].s[_n0] = lhs[_m0].s[_n0] + rhs_constant; \ |
| }) \ |
| }) \ |
| }) |
| |
| /** Element-wise addition with RHS broadcasted (RHS has the X dimension only) |
| * |
| * @note Performs: LHS + RHS[broadcasted] = DST |
| * @note Both tiles must have same data type |
| * |
| * @param[in] DATA_TYPE LHS/RHS/DST data type |
| * @param[in] M0 Number of LHS rows |
| * @param[in] N0 Number of LHS columns |
| * @param[in] lhs LHS tile |
| * @param[in] rhs RHS tile |
| * @param[out] dst DST tile |
| */ |
| #define T_ADD_BROADCAST_X(DATA_TYPE, M0, N0, lhs, rhs, dst) \ |
| ({ \ |
| LOOP_UNROLLING(int, _m0, 0, 1, M0, \ |
| { \ |
| dst[_m0].v = lhs[_m0].v + rhs[0].v; \ |
| }) \ |
| }) |
| |
| /** Matrix multiplication |
| * |
| * @note Performs: LHS X RHS + DST = DST |
| * |
| * @param[in] LHS_DATA_TYPE LHS tile data type |
| * @param[in] RHS_DATA_TYPE RHS tile data type |
| * @param[in] DST_DATA_TYPE RHS tile data type |
| * @param[in] M0 Number of LHS rows |
| * @param[in] N0 Number of RHS columns |
| * @param[in] K0 Number of LHS columns |
| * @param[in] LHS_LAYOUT LHS layout (T= transposed, NT= not transposed) |
| * @param[in] RHS_LAYOUT RHS layout (T= transposed, NT= not transposed) |
| * @param[in] lhs LHS tile |
| * @param[in] rhs RHS tile |
| * @param[in, out] dst DST tile |
| */ |
| #define T_MMUL(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, LHS_LAYOUT, RHS_LAYOUT, lhs, rhs, dst) T_MMUL_##LHS_LAYOUT##_##RHS_LAYOUT(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) |
| #define T_MMUL_NT_T(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) T_MMUL_NT_T_##LHS_DATA_TYPE##_##RHS_DATA_TYPE##_##DST_DATA_TYPE(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) |
| #define T_MMUL_NT_T_float_float_float(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) T_MMUL_NT_T_FLOAT(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) |
| #define T_MMUL_NT_T_half_half_half(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) T_MMUL_NT_T_FLOAT(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) |
| #define T_MMUL_NT_T_char_char_int(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) T_MMUL_NT_T_INTEGER8(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) |
| #define T_MMUL_NT_T_uchar_uchar_uint(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) T_MMUL_NT_T_INTEGER8(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) |
| #define T_MMUL_NT_T_uchar_uchar_int(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) T_MMUL_NT_T_INTEGER8(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) |
| #define T_MMUL_NT_T_FLOAT(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) \ |
| { \ |
| LOOP_UNROLLING(int, _m, 0, 1, M0, \ |
| { \ |
| LOOP_UNROLLING(int, _n, 0, 1, N0, \ |
| { \ |
| LOOP_UNROLLING(int, _k, 0, 1, K0, \ |
| { \ |
| dst[_m].s[_n] = fma((lhs[_m].s[_k]), (rhs[_n].s[_k]), dst[_m].s[_n]); \ |
| }) \ |
| }) \ |
| }) \ |
| } |
| |
| #define T_MMUL_NT_T_INTEGER8(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, lhs, rhs, dst) \ |
| ({ \ |
| LOOP_UNROLLING(int, _m, 0, 1, M0, \ |
| { \ |
| LOOP_UNROLLING(int, _n, 0, 1, N0, \ |
| { \ |
| DOT_PRODUCT_INTEGER8(LHS_DATA_TYPE, RHS_DATA_TYPE, DST_DATA_TYPE, K0, (lhs[_m].v), (rhs[_n].v), dst[_m].s[_n]); \ |
| }) \ |
| }) \ |
| }) |